You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Echo State vs. LSTM Networks for Word Sense Disambiguation
|
---|---|
Chapter number | 10 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions
|
Published by |
Springer, Cham, September 2019
|
DOI | 10.1007/978-3-030-30493-5_10 |
Book ISBNs |
978-3-03-030492-8, 978-3-03-030493-5
|
Authors |
Alexander Popov, Petia Koprinkova-Hristova, Kiril Simov, Petya Osenova, Popov, Alexander, Koprinkova-Hristova, Petia, Simov, Kiril, Osenova, Petya |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 43% |
Student > Doctoral Student | 1 | 14% |
Other | 1 | 14% |
Researcher | 1 | 14% |
Professor | 1 | 14% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 57% |
Economics, Econometrics and Finance | 1 | 14% |
Social Sciences | 1 | 14% |
Unknown | 1 | 14% |